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ExPart3D : Exclusive part aggregation for zero-shot point cloud learning

delete2026-04-07
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PRE
AI
Y
Yun Hao
J
Jiaju Wu
L
Lingwei Dang
Y
Yukun Su
Z
Zhongneng Ma *
吴庆耀 (Qingyao Wu) *
DOI:10.1016/j.eswa.2026.132370delete
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Abstract

Abstract

En 中文
• Novel framework discovers exclusive object parts for 3D point cloud ZSL. • Effective dual-branch aggregation: pooling-based and graph-based methods. • Achieves state-of-the-art on ModelNet40, McGill, and ScanObjectNN datasets.
Keywords:
ExPart3D
zero-shot learning
3D point cloud
object parts
dual-branch aggregation

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

T
tencent inc.
Scholars:
10
Papers: 6
Citations: 0
S
South China University of Technology
Scholars:
2.3K
Papers: 853
Citations: 8.3W